Samsung Galaxy S21+ 5G
Geekbench AI Score
321
Single Precision Score
587
Half Precision Score
697
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | UsayedShahid |
| Upload Date | March 26 2026 05:03 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996U1 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.5 IPS |
|
|
Image Classification (Q)
|
99% |
755
140.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
772
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (HP)
|
92% |
1364
1.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
1217
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (HP)
|
97% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
85% |
416
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (Q)
|
97% |
880
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
508
3.91 IPS |
|
|
Depth Estimation (HP)
|
98% |
1064
8.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
1044
9.63 IPS |
|
|
Style Transfer (SP)
|
89% |
1120
1.45 IPS |
|
|
Style Transfer (HP)
|
88% |
1499
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2482
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
583
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
653
24.2 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.7 IPS |
|
|
Text Classification (HP)
|
100% |
265
354.2 IPS |
|
|
Text Classification (Q)
|
93% |
275
369.2 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (HP)
|
96% |
348
6.01 IPS |
|
|
Machine Translation (Q)
|
55% |
226
6.07 IPS |
